An Architecture for Artificial Intelligence Storage

As we’ve talked about in the past, the focus on data – how much is being generated, where it’s being created, the tools needed to take advantage of it, the shortage of skilled talent to manage it, and so on – is rapidly changing the way enterprises are operating both in the datacenter and in the cloud and dictating many of the product roadmaps being developed by tech vendors.


The Next IBM Platform, Revisited

When IBM announced that it was acquiring Red Hat for $34 billion eighteen months ago, one of the things we said that Big Blue needed most and would get from taking over – but not messing with – the world’s largest commercial open source software company was a coherent story that it could tell to its customers about how IBM, which more than any other company helped define data processing, was still relevant to the future.


Making The Red Hat Platform Bet Pay Off For Big Blue

In the long run of the history of International Business Machines, a conglomerate established back in 1911 whose Electric Tabulating System was custom built by Herman Hollerith for the federal government in the United States for the 1890 census and then commercialized, the acquisition of Red Hat by Big Blue might, in hindsight many years from now, turn out to be the most significant of the many transitions that IBM has undergone.